Design of a helicopter output feedback control law using modal and structured-robustness techniques

Apkarian, Pierre; Champetier, C.; Magni, J. F.

doi:10.1080/00207178908953426

Cited by 17 publications

(5 citation statements)

References 7 publications

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“…Various control systems have been examined to control the helicopter flight. Historically, the first techniques are pole placement (Fusato et al , 2001; Fusato and Celi, 2006) and simple feedback (Apkarian et al , 1989 and Budiyono et al , 2010) methods. After them, linear quadratic regulator and linear quadratic gaussian (LQG) controllers (Zarei et al , 2007; Park et al , 2013) established over linear matrix algebra, but these methods are not robust enough in helicopter control.…”

Section: Introductionmentioning

confidence: 99%

Constrained control of helicopter vibration to reduce motion blur

Oktay

Çelik

Turkmen

2018

AEAT

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Purpose The purpose of this paper is to examine the success of constrained control on reducing motion blur which occurs as a result of helicopter vibration. Design/methodology/approach Constrained controllers are designed to reduce the motion blur on images taken by helicopter. Helicopter vibrations under tight and soft constrained controllers are modeled and added to images to show the performance of controllers on reducing blur. Findings The blur caused by vibration can be reduced via constrained control of helicopter. Research limitations/implications The motion of camera is modeled and assumed same as the motion of helicopter. In model of exposing image, image noise is neglected, and blur is considered as the only distorting effect on image. Practical implications Tighter constrained controllers can be implemented to take higher quality images by helicopters. Social implications Recently, aerial vehicles are widely used for aerial photography. Images taken by helicopters mostly suffer from motion blur. Reducing motion blur can provide users to take higher quality images by helicopters. Originality/value Helicopter control is performed to reduce motion blur on image for the first time. A control-oriented and physic-based model of helicopter is benefited. Helicopter vibration which causes motion blur is modeled as blur kernel to see the effect of helicopter vibration on taken images. Tight and soft constrained controllers are designed and compared to denote their performance in reducing motion blur. It is proved that images taken by helicopter can be prevented from motion blur by controlling helicopter tightly.

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Section: Introductionmentioning

confidence: 99%

Constrained control of helicopter vibration to reduce motion blur

Oktay

Çelik

Turkmen

2018

AEAT

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“…Numerous helicopter FCS design methods have been studied throughout the years, in historical sequence classical pole placement techniques (see [ 19 , 20 ]), simple feedback control methods (see [ 21 , 22 ]), and modern control approaches depend on linear matrix algebra such as linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) techniques (see [ 23 , 24 ]), H ∞ control synthesis (see [ 25 , 26 ]), and model predictive control (MPC) (see [ 27 , 28 ]). In this paper, a modern constrained control method, namely, OVC, is chosen for the design of helicopter FCS.…”

Section: Introductionmentioning

confidence: 99%

Helicopter Control Energy Reduction Using Moving Horizontal Tail

Oktay

Sal

2015

The Scientific World Journal

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Helicopter moving horizontal tail (i.e., MHT) strategy is applied in order to save helicopter flight control system (i.e., FCS) energy. For this intention complex, physics-based, control-oriented nonlinear helicopter models are used. Equations of MHT are integrated into these models and they are together linearized around straight level flight condition. A specific variance constrained control strategy, namely, output variance constrained Control (i.e., OVC) is utilized for helicopter FCS. Control energy savings due to this MHT idea with respect to a conventional helicopter are calculated. Parameters of helicopter FCS and dimensions of MHT are simultaneously optimized using a stochastic optimization method, namely, simultaneous perturbation stochastic approximation (i.e., SPSA). In order to observe improvement in behaviors of classical controls closed loop analyses are done.

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“…By linearizing several operating points of the flight envelope, the control parameters can be designed directly, but it is easily affected by the wind disturbance (Cai et al, 2009). A feedback linearization control method can improve the control performance effectively, but it relies heavily on the performance of the dynamic model (Apkarian et al, 1989). Due to weight and size constraints, it is difficult to obtain a high performance dynamic model of SRUA systems (Carlo et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The high performance control for small rotary-wing unmanned aircraft based on composite control method

Lei

Liu

2014

Transactions of the Institute of Measurement and Control

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To improve flight performance of small rotary-wing unmanned aircraft under complex environment, a composite control method based on internal model control (IMC) and adaptive radial basis neural network (RBFNN) is proposed. With the analysis of the characteristics of system disturbance, an IMC system is constructed to eliminate system errors. Furthermore, an adaptive RBFNN without prior training is proposed to eliminate residual estimation errors to augment the control performance. The effectiveness of the composite control method is validated by a series of flight tests. Compared with the feedback control method, the composite control method can yield good tracking performance under wind disturbances.

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Design of a helicopter output feedback control law using modal and structured-robustness techniques

Cited by 17 publications

References 7 publications

Constrained control of helicopter vibration to reduce motion blur

Constrained control of helicopter vibration to reduce motion blur

Helicopter Control Energy Reduction Using Moving Horizontal Tail

The high performance control for small rotary-wing unmanned aircraft based on composite control method

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